Overview

Dataset statistics

Number of variables20
Number of observations1000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory156.4 KiB
Average record size in memory160.1 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 00:17:30.204159
Analysis finished2020-08-25 00:18:38.297977
Duration1 minute and 8.09 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

oz9 has unique values Unique
oz17 has unique values Unique
oz1 has unique values Unique
oz24 has unique values Unique
oz12 has unique values Unique
oz10 has unique values Unique
oz14 has unique values Unique
oz2 has unique values Unique
oz23 has unique values Unique
oz6 has unique values Unique
oz3 has unique values Unique
oz13 has unique values Unique
oz16 has unique values Unique
oz4 has unique values Unique
oz5 has unique values Unique
oz21 has unique values Unique
oz18 has unique values Unique
oz22 has unique values Unique
oz19 has unique values Unique
target has unique values Unique

Variables

oz9
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.132751557113124e-10
Minimum-1.7400754690170288
Maximum1.782915472984314
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:18:38.510746image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.740075469
5-th percentile-1.584856558
Q1-0.84395051
median0.01409088168
Q30.8289703578
95-th percentile1.630467373
Maximum1.782915473
Range3.522990942
Interquartile range (IQR)1.672920868

Descriptive statistics

Standard deviation0.9999999973
Coefficient of variation (CV)1948272746
Kurtosis-1.133954447
Mean5.132751557e-10
Median Absolute Deviation (MAD)0.8300138572
Skewness0.01781313137
Sum5.132751557e-07
Variance0.9999999946
2020-08-25T00:18:38.613953image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.299336880410.1%
 
1.25121235810.1%
 
1.29944026510.1%
 
-1.18169820310.1%
 
0.828751504410.1%
 
-0.711770057710.1%
 
-1.50515174910.1%
 
-0.429021358510.1%
 
1.43433785410.1%
 
0.401662319910.1%
 
1.63112914610.1%
 
-0.367279678610.1%
 
-1.62622630610.1%
 
0.117019802310.1%
 
1.27465617710.1%
 
1.25511634310.1%
 
0.191061571210.1%
 
1.7473028910.1%
 
1.59603059310.1%
 
-1.34473931810.1%
 
0.051917206510.1%
 
0.118238672610.1%
 
1.12228405510.1%
 
-0.1861838410.1%
 
0.736921250810.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.74007546910.1%
 
-1.72921276110.1%
 
-1.72896635510.1%
 
-1.7287424810.1%
 
-1.72795140710.1%
 
-1.72289335710.1%
 
-1.72028839610.1%
 
-1.71978974310.1%
 
-1.71195495110.1%
 
-1.71086454410.1%
 
ValueCountFrequency (%) 
1.78291547310.1%
 
1.78059709110.1%
 
1.77973377710.1%
 
1.77763378610.1%
 
1.77727806610.1%
 
1.76523077510.1%
 
1.76302051510.1%
 
1.75839674510.1%
 
1.75290870710.1%
 
1.7520337110.1%
 

oz17
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.314328983426094e-09
Minimum-1.6601994037628174
Maximum1.7098522186279297
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:18:38.733170image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.660199404
5-th percentile-1.530893004
Q1-0.8459451646
median-0.01995977759
Q30.9010153711
95-th percentile1.565679377
Maximum1.709852219
Range3.370051622
Interquartile range (IQR)1.746960536

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)760844517.3
Kurtosis-1.230501807
Mean1.314328983e-09
Median Absolute Deviation (MAD)0.8694060147
Skewness0.06713959708
Sum1.314328983e-06
Variance1.000000002
2020-08-25T00:18:38.837052image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.437499761610.1%
 
0.634286105610.1%
 
-0.961589455610.1%
 
-0.578774273410.1%
 
0.955668926210.1%
 
0.0664868727310.1%
 
-0.817520916510.1%
 
-1.39972007310.1%
 
0.0268754903210.1%
 
0.330397158910.1%
 
0.485669165810.1%
 
0.280591398510.1%
 
0.119793668410.1%
 
1.05327475110.1%
 
-0.429642140910.1%
 
0.392891734810.1%
 
-1.17457866710.1%
 
1.20828366310.1%
 
-0.0473743006610.1%
 
-0.865858018410.1%
 
1.26686978310.1%
 
0.383122742210.1%
 
-0.527960836910.1%
 
0.306948602210.1%
 
-1.44883334610.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.66019940410.1%
 
-1.6599632510.1%
 
-1.65721023110.1%
 
-1.65574574510.1%
 
-1.65014243110.1%
 
-1.64735090710.1%
 
-1.64360761610.1%
 
-1.64223372910.1%
 
-1.63891589610.1%
 
-1.63865530510.1%
 
ValueCountFrequency (%) 
1.70985221910.1%
 
1.70950210110.1%
 
1.70842325710.1%
 
1.70760381210.1%
 
1.70512771610.1%
 
1.69888758710.1%
 
1.69673144810.1%
 
1.69329869710.1%
 
1.68508684610.1%
 
1.68379652510.1%
 

oz1
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2370292097330093e-09
Minimum-2.4108428955078125
Maximum2.313145399093628
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:18:38.954794image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.410842896
5-th percentile-1.635159904
Q1-0.7305236608
median0.02930162288
Q30.7573364824
95-th percentile1.604753768
Maximum2.313145399
Range4.723988295
Interquartile range (IQR)1.487860143

Descriptive statistics

Standard deviation0.999999999
Coefficient of variation (CV)808388347.7
Kurtosis-0.7399595913
Mean1.23702921e-09
Median Absolute Deviation (MAD)0.7474409435
Skewness-0.03520751232
Sum1.23702921e-06
Variance0.9999999979
2020-08-25T00:18:39.066600image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-2.05468583110.1%
 
-0.0392244085710.1%
 
0.16917002210.1%
 
0.684252262110.1%
 
-0.0233359374110.1%
 
0.00373332807810.1%
 
-0.629557430710.1%
 
0.748696386810.1%
 
-1.51823270310.1%
 
-0.772132456310.1%
 
0.103067472610.1%
 
0.584630131710.1%
 
-1.52082097510.1%
 
-0.213050365410.1%
 
1.03643274310.1%
 
1.0090864910.1%
 
-0.660768032110.1%
 
-1.8918958910.1%
 
-0.347973555310.1%
 
-0.981100559210.1%
 
1.35282397310.1%
 
-0.906880259510.1%
 
0.586996316910.1%
 
-0.666640281710.1%
 
-1.1145294910.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-2.41084289610.1%
 
-2.23570704510.1%
 
-2.16631078710.1%
 
-2.15911698310.1%
 
-2.1561384210.1%
 
-2.14196968110.1%
 
-2.10348534610.1%
 
-2.08012819310.1%
 
-2.05468583110.1%
 
-2.05293035510.1%
 
ValueCountFrequency (%) 
2.31314539910.1%
 
2.28178882610.1%
 
2.20439314810.1%
 
2.15224289910.1%
 
2.12744212210.1%
 
2.11720585810.1%
 
2.11212372810.1%
 
2.10138821610.1%
 
2.07718682310.1%
 
2.06407308610.1%
 

oz24
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.9942020773887635e-10
Minimum-1.7779059410095217
Maximum1.7674596309661863
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:18:39.179598image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.777905941
5-th percentile-1.580021733
Q1-0.8322018683
median-0.01010607742
Q30.8566880077
95-th percentile1.548858654
Maximum1.767459631
Range3.545365572
Interquartile range (IQR)1.688889876

Descriptive statistics

Standard deviation0.9999999996
Coefficient of variation (CV)-3339787943
Kurtosis-1.148879887
Mean-2.994202077e-10
Median Absolute Deviation (MAD)0.8409674168
Skewness-0.01340150205
Sum-2.994202077e-07
Variance0.9999999993
2020-08-25T00:18:39.282300image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.39469277910.1%
 
0.33721882110.1%
 
0.0933424308910.1%
 
-0.119616657510.1%
 
-1.12128055110.1%
 
1.62236416310.1%
 
-0.71157342210.1%
 
-1.24157834110.1%
 
-0.0116646178110.1%
 
-0.284492611910.1%
 
1.6262452610.1%
 
-1.25905561410.1%
 
0.086747288710.1%
 
-1.67846095610.1%
 
-1.73950338410.1%
 
-0.77239060410.1%
 
-1.38008248810.1%
 
0.0309987459310.1%
 
-0.0652612298710.1%
 
0.354672610810.1%
 
0.457332998510.1%
 
-1.16917276410.1%
 
1.00901269910.1%
 
0.734974741910.1%
 
-1.47385132310.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.77790594110.1%
 
-1.77733683610.1%
 
-1.77625012410.1%
 
-1.77049565310.1%
 
-1.76801192810.1%
 
-1.76658892610.1%
 
-1.76604163610.1%
 
-1.7588527210.1%
 
-1.75346076510.1%
 
-1.75242865110.1%
 
ValueCountFrequency (%) 
1.76745963110.1%
 
1.76475441510.1%
 
1.75879681110.1%
 
1.75823354710.1%
 
1.75581395610.1%
 
1.75304937410.1%
 
1.75284159210.1%
 
1.74913740210.1%
 
1.74786043210.1%
 
1.74658048210.1%
 

oz12
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.449983291327953e-10
Minimum-1.6388565301895142
Maximum1.7952057123184204
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:18:39.398515image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.63885653
5-th percentile-1.471751082
Q1-0.8783058226
median-0.06881291047
Q30.8820323944
95-th percentile1.630741292
Maximum1.795205712
Range3.434062243
Interquartile range (IQR)1.760338217

Descriptive statistics

Standard deviation0.9999999994
Coefficient of variation (CV)-1834868010
Kurtosis-1.194873825
Mean-5.449983291e-10
Median Absolute Deviation (MAD)0.8801536262
Skewness0.1524311582
Sum-5.449983291e-07
Variance0.9999999988
2020-08-25T00:18:39.510238image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.01562368910.1%
 
0.162768706710.1%
 
1.66937887710.1%
 
-0.71069401510.1%
 
0.30992105610.1%
 
0.645231783410.1%
 
1.60334944710.1%
 
0.0886260345610.1%
 
0.819055974510.1%
 
-0.0657214298810.1%
 
-0.0101688997810.1%
 
-0.0703986883210.1%
 
-1.48184394810.1%
 
-0.295265555410.1%
 
0.0500917248410.1%
 
0.126635596210.1%
 
0.692056834710.1%
 
-0.122399471710.1%
 
-0.0781482756110.1%
 
1.79432141810.1%
 
-1.056032310.1%
 
0.57293605810.1%
 
-0.744810283210.1%
 
-1.08332836610.1%
 
-0.429044157310.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.6388565310.1%
 
-1.63345408410.1%
 
-1.63044524210.1%
 
-1.62429094310.1%
 
-1.62191510210.1%
 
-1.6134772310.1%
 
-1.60728311510.1%
 
-1.60320341610.1%
 
-1.59853470310.1%
 
-1.59772479510.1%
 
ValueCountFrequency (%) 
1.79520571210.1%
 
1.79432141810.1%
 
1.79247450810.1%
 
1.78748667210.1%
 
1.77547812510.1%
 
1.7696051610.1%
 
1.76634657410.1%
 
1.76242482710.1%
 
1.75545394410.1%
 
1.75314319110.1%
 

oz10
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.456401363015174e-11
Minimum-1.760158896446228
Maximum1.7178087234497068
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:18:39.625698image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.760158896
5-th percentile-1.526175201
Q1-0.8972384036
median0.008250645129
Q30.8492775857
95-th percentile1.522697294
Maximum1.717808723
Range3.47796762
Interquartile range (IQR)1.746515989

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-1.341129523e+10
Kurtosis-1.242100185
Mean-7.456401363e-11
Median Absolute Deviation (MAD)0.8787301395
Skewness-0.02128266043
Sum-7.456401363e-08
Variance1.000000001
2020-08-25T00:18:39.731966image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.761717796310.1%
 
0.526055574410.1%
 
0.621780514710.1%
 
-0.705762982410.1%
 
1.47011721110.1%
 
-1.28770291810.1%
 
1.64764475810.1%
 
-1.43494558310.1%
 
-1.14197635710.1%
 
-1.27776491610.1%
 
1.28259348910.1%
 
-1.46071898910.1%
 
0.319412916910.1%
 
-0.645199656510.1%
 
-0.784516096110.1%
 
1.46617162210.1%
 
-0.103349983710.1%
 
1.47915375210.1%
 
-1.47109496610.1%
 
0.322593092910.1%
 
-0.493490666210.1%
 
-0.0725911483210.1%
 
-1.2681351910.1%
 
-0.102131903210.1%
 
0.958336889710.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.76015889610.1%
 
-1.74633085710.1%
 
-1.73977351210.1%
 
-1.73088693610.1%
 
-1.7307536610.1%
 
-1.72740387910.1%
 
-1.72496688410.1%
 
-1.71770405810.1%
 
-1.71526455910.1%
 
-1.71417009810.1%
 
ValueCountFrequency (%) 
1.71780872310.1%
 
1.70285785210.1%
 
1.69884777110.1%
 
1.69342362910.1%
 
1.68629968210.1%
 
1.6846219310.1%
 
1.68040049110.1%
 
1.678279410.1%
 
1.67647540610.1%
 
1.67528927310.1%
 

oz14
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.07220795750618e-10
Minimum-1.7669485807418823
Maximum1.767311692237854
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:18:39.850632image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.766948581
5-th percentile-1.548664635
Q1-0.8583201617
median-0.03976434655
Q30.8671192676
95-th percentile1.573741829
Maximum1.767311692
Range3.534260273
Interquartile range (IQR)1.725439429

Descriptive statistics

Standard deviation0.9999999998
Coefficient of variation (CV)-2455670266
Kurtosis-1.173095602
Mean-4.072207958e-10
Median Absolute Deviation (MAD)0.8706068099
Skewness0.0120804351
Sum-4.072207958e-07
Variance0.9999999997
2020-08-25T00:18:39.957011image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.42594182510.1%
 
0.512368738710.1%
 
-1.04823982710.1%
 
-0.869821429310.1%
 
-1.70448434410.1%
 
-1.00916910210.1%
 
0.475920230210.1%
 
0.404952615510.1%
 
-1.60289001510.1%
 
-0.264003008610.1%
 
-1.59785461410.1%
 
1.51303374810.1%
 
1.26302981410.1%
 
-0.296370863910.1%
 
-0.61198002110.1%
 
1.43620240710.1%
 
0.834607124310.1%
 
-1.02640128110.1%
 
-1.09503972510.1%
 
-0.063312999910.1%
 
0.754549562910.1%
 
1.1664520510.1%
 
0.91732710610.1%
 
0.971675872810.1%
 
0.938817441510.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.76694858110.1%
 
-1.76071715410.1%
 
-1.75657916110.1%
 
-1.7517292510.1%
 
-1.75087428110.1%
 
-1.74509108110.1%
 
-1.74384260210.1%
 
-1.73555719910.1%
 
-1.73360025910.1%
 
-1.72905349710.1%
 
ValueCountFrequency (%) 
1.76731169210.1%
 
1.76420986710.1%
 
1.75701761210.1%
 
1.75562918210.1%
 
1.75013709110.1%
 
1.74689745910.1%
 
1.74275541310.1%
 
1.74217045310.1%
 
1.73888707210.1%
 
1.734118710.1%
 

oz2
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.563511073589325e-10
Minimum-1.7849053144454956
Maximum1.696666955947876
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:18:40.073957image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.784905314
5-th percentile-1.607196438
Q1-0.8730498552
median0.03826003335
Q30.8222951144
95-th percentile1.526710236
Maximum1.696666956
Range3.48157227
Interquartile range (IQR)1.69534497

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)1167745323
Kurtosis-1.197391167
Mean8.563511074e-10
Median Absolute Deviation (MAD)0.8540652394
Skewness-0.0540475389
Sum8.563511074e-07
Variance1
2020-08-25T00:18:40.177059image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.138183057310.1%
 
-1.17704415310.1%
 
0.77018767610.1%
 
-1.23568427610.1%
 
-0.323532432310.1%
 
-0.0999349504710.1%
 
1.27473902710.1%
 
-1.66890859610.1%
 
0.405593723110.1%
 
0.528657853610.1%
 
0.455397367510.1%
 
1.03252255910.1%
 
-0.232580885310.1%
 
1.05342006710.1%
 
-0.608055055110.1%
 
0.103106133610.1%
 
0.580680012710.1%
 
-0.510393679110.1%
 
0.346993029110.1%
 
1.26296389110.1%
 
1.19797599310.1%
 
0.586558103610.1%
 
0.0713664293310.1%
 
-0.344059079910.1%
 
-0.717414677110.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.78490531410.1%
 
-1.78461396710.1%
 
-1.77814805510.1%
 
-1.77743732910.1%
 
-1.77607846310.1%
 
-1.77052903210.1%
 
-1.75666892510.1%
 
-1.74987828710.1%
 
-1.74954545510.1%
 
-1.74827623410.1%
 
ValueCountFrequency (%) 
1.69666695610.1%
 
1.69189834610.1%
 
1.68812680210.1%
 
1.68801844110.1%
 
1.68483805710.1%
 
1.67983627310.1%
 
1.6783909810.1%
 
1.66518771610.1%
 
1.66336727110.1%
 
1.65943002710.1%
 

oz23
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6996636986732482e-11
Minimum-1.7534830570220947
Maximum1.7758498191833496
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:18:40.292935image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.753483057
5-th percentile-1.549423909
Q1-0.8836830854
median0.01219085464
Q30.8558656871
95-th percentile1.566761971
Maximum1.775849819
Range3.529332876
Interquartile range (IQR)1.739548773

Descriptive statistics

Standard deviation0.9999999982
Coefficient of variation (CV)-5.883516833e+10
Kurtosis-1.178280591
Mean-1.699663699e-11
Median Absolute Deviation (MAD)0.8739222288
Skewness0.02610635458
Sum-1.699663699e-08
Variance0.9999999963
2020-08-25T00:18:40.398650image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.208007574110.1%
 
1.52474570310.1%
 
-0.113928481910.1%
 
1.32948815810.1%
 
1.27869212610.1%
 
0.36259588610.1%
 
0.159785985910.1%
 
-0.428377091910.1%
 
-0.486778140110.1%
 
-0.431973993810.1%
 
-0.915578901810.1%
 
0.491813391410.1%
 
-0.168151333910.1%
 
0.0498631112310.1%
 
1.66537058410.1%
 
-0.146013021510.1%
 
-0.899047553510.1%
 
0.951932311110.1%
 
1.10042107110.1%
 
0.852206289810.1%
 
1.43096935710.1%
 
0.879543662110.1%
 
-1.71724605610.1%
 
1.44498646310.1%
 
1.62728655310.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.75348305710.1%
 
-1.75270986610.1%
 
-1.75253820410.1%
 
-1.75065863110.1%
 
-1.73523998310.1%
 
-1.73329174510.1%
 
-1.73149025410.1%
 
-1.73038625710.1%
 
-1.72864282110.1%
 
-1.72523534310.1%
 
ValueCountFrequency (%) 
1.77584981910.1%
 
1.77135324510.1%
 
1.76867055910.1%
 
1.76172542610.1%
 
1.75654172910.1%
 
1.75319027910.1%
 
1.74144065410.1%
 
1.73876726610.1%
 
1.73097765410.1%
 
1.72443354110.1%
 

oz6
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.81478457711637e-10
Minimum-1.6815218925476074
Maximum1.7172002792358398
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:18:40.516093image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.681521893
5-th percentile-1.520575643
Q1-0.8911817819
median-0.04928104766
Q30.8714139163
95-th percentile1.556540006
Maximum1.717200279
Range3.398722172
Interquartile range (IQR)1.762595698

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)-2621380010
Kurtosis-1.233631619
Mean-3.814784577e-10
Median Absolute Deviation (MAD)0.8859541118
Skewness0.02711449687
Sum-3.814784577e-07
Variance1.000000007
2020-08-25T00:18:40.631155image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.36729562310.1%
 
0.13681991410.1%
 
0.462735325110.1%
 
0.707702636710.1%
 
-0.398708909710.1%
 
-0.676450133310.1%
 
0.723323404810.1%
 
-0.367520123710.1%
 
-0.987617254310.1%
 
-0.177898898710.1%
 
-0.0418445169910.1%
 
1.66536831910.1%
 
-0.390949577110.1%
 
0.504460573210.1%
 
0.045572534210.1%
 
0.0983640477110.1%
 
-0.840458154710.1%
 
1.08966100210.1%
 
0.0382002890110.1%
 
-1.48955380910.1%
 
-0.930322945110.1%
 
-1.59110856110.1%
 
-0.171544536910.1%
 
0.429449081410.1%
 
1.21359622510.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.68152189310.1%
 
-1.67613935510.1%
 
-1.67327761710.1%
 
-1.67296040110.1%
 
-1.6717363610.1%
 
-1.66998434110.1%
 
-1.6691613210.1%
 
-1.66185510210.1%
 
-1.66157817810.1%
 
-1.6598502410.1%
 
ValueCountFrequency (%) 
1.71720027910.1%
 
1.7160875810.1%
 
1.71194720310.1%
 
1.70813345910.1%
 
1.70578229410.1%
 
1.7050397410.1%
 
1.7004730710.1%
 
1.6963678610.1%
 
1.69424760310.1%
 
1.68959569910.1%
 

oz3
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.0948278941214085e-09
Minimum-2.104539155960083
Maximum3.0264837741851807
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:18:40.753469image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.104539156
5-th percentile-1.32719298
Q1-0.7612352222
median-0.1779902205
Q30.6123975068
95-th percentile1.942151141
Maximum3.026483774
Range5.13102293
Interquartile range (IQR)1.373632729

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)-913385571.6
Kurtosis-0.07609191089
Mean-1.094827894e-09
Median Absolute Deviation (MAD)0.6514882147
Skewness0.6865202576
Sum-1.094827894e-06
Variance1.000000004
2020-08-25T00:18:40.850555image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.804686009910.1%
 
-1.01729226110.1%
 
-0.195482552110.1%
 
-0.344008088110.1%
 
-0.433932781210.1%
 
-0.0113020837310.1%
 
-1.6380680810.1%
 
2.21362996110.1%
 
0.0973554030110.1%
 
-0.411776274410.1%
 
-1.20960795910.1%
 
-1.32207989710.1%
 
-0.885426342510.1%
 
1.32765507710.1%
 
0.21061366810.1%
 
-0.311847180110.1%
 
0.0818653032210.1%
 
2.28382587410.1%
 
0.639314413110.1%
 
-0.0694161057510.1%
 
1.79815292410.1%
 
-0.68227773910.1%
 
-0.807276964210.1%
 
0.66860467210.1%
 
-1.17704927910.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-2.10453915610.1%
 
-2.00897932110.1%
 
-1.82785165310.1%
 
-1.81964814710.1%
 
-1.7971177110.1%
 
-1.78425288210.1%
 
-1.75598645210.1%
 
-1.75093293210.1%
 
-1.74550557110.1%
 
-1.73946857510.1%
 
ValueCountFrequency (%) 
3.02648377410.1%
 
2.91411638310.1%
 
2.81289148310.1%
 
2.77663779310.1%
 
2.73380303410.1%
 
2.72951650610.1%
 
2.72797918310.1%
 
2.70782136910.1%
 
2.66116809810.1%
 
2.63334131210.1%
 

oz13
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.631016731262207e-10
Minimum-1.7452740669250488
Maximum1.7258048057556152
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:18:40.962569image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.745274067
5-th percentile-1.592822587
Q1-0.8509184867
median0.006306607509
Q30.854902789
95-th percentile1.559609228
Maximum1.725804806
Range3.471078873
Interquartile range (IQR)1.705821276

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-1508064360
Kurtosis-1.166282963
Mean-6.631016731e-10
Median Absolute Deviation (MAD)0.8527639508
Skewness-0.04151940577
Sum-6.631016731e-07
Variance1.000000001
2020-08-25T00:18:41.068783image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.202650353310.1%
 
-1.67878794710.1%
 
0.300140798110.1%
 
-1.45838546810.1%
 
-0.973932802710.1%
 
1.16931545710.1%
 
-0.200396791110.1%
 
-0.319793820410.1%
 
0.781918406510.1%
 
-1.06383144910.1%
 
-1.21226835310.1%
 
0.428225755710.1%
 
-1.66928768210.1%
 
0.758468985610.1%
 
-0.449429094810.1%
 
1.65617895110.1%
 
-0.227693200110.1%
 
-0.582683026810.1%
 
-1.48912560910.1%
 
-0.592435419610.1%
 
-1.73565125510.1%
 
-1.18453502710.1%
 
-0.463771760510.1%
 
-1.66141521910.1%
 
1.48172664610.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.74527406710.1%
 
-1.74451744610.1%
 
-1.74214744610.1%
 
-1.74126720410.1%
 
-1.73659193510.1%
 
-1.73565125510.1%
 
-1.73195195210.1%
 
-1.73027825410.1%
 
-1.72890889610.1%
 
-1.7266709810.1%
 
ValueCountFrequency (%) 
1.72580480610.1%
 
1.72537195710.1%
 
1.71850955510.1%
 
1.71841359110.1%
 
1.71732246910.1%
 
1.71722519410.1%
 
1.70326125610.1%
 
1.70135617310.1%
 
1.70087540110.1%
 
1.6999499810.1%
 

oz16
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.557690307497978e-10
Minimum-1.7263144254684448
Maximum1.7560685873031616
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:18:41.183554image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.726314425
5-th percentile-1.590404069
Q1-0.8833153993
median0.02211928368
Q30.8521028757
95-th percentile1.562846011
Maximum1.756068587
Range3.482383013
Interquartile range (IQR)1.735418275

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)1168539600
Kurtosis-1.165876518
Mean8.557690307e-10
Median Absolute Deviation (MAD)0.8638873398
Skewness-0.02838126272
Sum8.557690307e-07
Variance1.000000001
2020-08-25T00:18:41.286295image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.28515517710.1%
 
1.70056450410.1%
 
0.108241520810.1%
 
1.25529575310.1%
 
1.58341836910.1%
 
0.310892581910.1%
 
-0.664751172110.1%
 
0.809281349210.1%
 
0.608106732410.1%
 
-1.4974596510.1%
 
0.820995032810.1%
 
-1.57167470510.1%
 
-0.903616428410.1%
 
-1.5716633810.1%
 
0.131027862410.1%
 
-1.11462724210.1%
 
-1.38543379310.1%
 
-0.707586944110.1%
 
-1.25524377810.1%
 
-1.65758383310.1%
 
0.158857837310.1%
 
0.420253574810.1%
 
0.445958375910.1%
 
0.836596727410.1%
 
-1.17421913110.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.72631442510.1%
 
-1.71848416310.1%
 
-1.71575081310.1%
 
-1.71418309210.1%
 
-1.71078336210.1%
 
-1.7103464610.1%
 
-1.70903658910.1%
 
-1.70713233910.1%
 
-1.70146095810.1%
 
-1.69608712210.1%
 
ValueCountFrequency (%) 
1.75606858710.1%
 
1.75499188910.1%
 
1.75257444410.1%
 
1.75250077210.1%
 
1.75084674410.1%
 
1.73768401110.1%
 
1.73679244510.1%
 
1.72625911210.1%
 
1.724174510.1%
 
1.72225689910.1%
 

oz4
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0685838535428045e-09
Minimum-1.7650907039642334
Maximum1.7294621467590332
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:18:41.559675image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.765090704
5-th percentile-1.582487607
Q1-0.877778098
median0.0276636323
Q30.8597919196
95-th percentile1.553513718
Maximum1.729462147
Range3.494552851
Interquartile range (IQR)1.737570018

Descriptive statistics

Standard deviation0.9999999999
Coefficient of variation (CV)483422510.6
Kurtosis-1.199789419
Mean2.068583854e-09
Median Absolute Deviation (MAD)0.8824132383
Skewness-0.04404955079
Sum2.068583854e-06
Variance0.9999999998
2020-08-25T00:18:41.670384image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.970698416210.1%
 
1.03059244210.1%
 
-1.17706751810.1%
 
-0.656891524810.1%
 
1.40362453510.1%
 
1.57549500510.1%
 
0.226891592110.1%
 
-1.14417827110.1%
 
-0.23013843610.1%
 
1.27079248410.1%
 
-0.336251765510.1%
 
-0.705706238710.1%
 
-1.15870368510.1%
 
1.26296901710.1%
 
1.03640544410.1%
 
-0.1204937110.1%
 
-1.13400292410.1%
 
0.0515970550510.1%
 
1.63938808410.1%
 
-1.16138458310.1%
 
-0.649922609310.1%
 
1.35668683110.1%
 
0.0924201905710.1%
 
1.04809069610.1%
 
0.859662175210.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.76509070410.1%
 
-1.76401984710.1%
 
-1.75993561710.1%
 
-1.75799953910.1%
 
-1.75719308910.1%
 
-1.74634921610.1%
 
-1.74555194410.1%
 
-1.74479472610.1%
 
-1.73717355710.1%
 
-1.73711991310.1%
 
ValueCountFrequency (%) 
1.72946214710.1%
 
1.72364461410.1%
 
1.7059155710.1%
 
1.70363223610.1%
 
1.70186090510.1%
 
1.69554865410.1%
 
1.69528913510.1%
 
1.69472718210.1%
 
1.69155597710.1%
 
1.68812859110.1%
 

oz5
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.0535662859089142e-10
Minimum-1.715230941772461
Maximum1.760132908821106
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:18:41.789854image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.715230942
5-th percentile-1.577836394
Q1-0.8624565452
median0.0369108431
Q30.8290563822
95-th percentile1.574595261
Maximum1.760132909
Range3.475363851
Interquartile range (IQR)1.691512927

Descriptive statistics

Standard deviation0.999999999
Coefficient of variation (CV)-4869577407
Kurtosis-1.18185938
Mean-2.053566286e-10
Median Absolute Deviation (MAD)0.8560907952
Skewness0.01190885942
Sum-2.053566286e-07
Variance0.999999998
2020-08-25T00:18:41.896361image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.609374523210.1%
 
-0.241249620910.1%
 
0.00768842268710.1%
 
-0.281079947910.1%
 
0.26843535910.1%
 
1.24744427210.1%
 
0.460297912410.1%
 
0.236496165410.1%
 
0.296234130910.1%
 
-1.61233234410.1%
 
1.52033472110.1%
 
-0.802780926210.1%
 
-0.633474886410.1%
 
-1.69663035910.1%
 
1.19662702110.1%
 
-1.22005975210.1%
 
0.656872749310.1%
 
-0.393881410410.1%
 
1.04427599910.1%
 
0.133952081210.1%
 
-0.422786921310.1%
 
-1.45832467110.1%
 
-1.61980295210.1%
 
0.988925576210.1%
 
1.64972233810.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.71523094210.1%
 
-1.71142876110.1%
 
-1.70998251410.1%
 
-1.70310807210.1%
 
-1.69663035910.1%
 
-1.69527041910.1%
 
-1.69341754910.1%
 
-1.69260728410.1%
 
-1.69096565210.1%
 
-1.68849873510.1%
 
ValueCountFrequency (%) 
1.76013290910.1%
 
1.75860714910.1%
 
1.74762535110.1%
 
1.74545085410.1%
 
1.74301886610.1%
 
1.74176418810.1%
 
1.73945152810.1%
 
1.73398625910.1%
 
1.73145008110.1%
 
1.7298264510.1%
 

oz21
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.7846925883307e-10
Minimum-1.6904984712600708
Maximum1.7588744163513184
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:18:42.015556image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.690498471
5-th percentile-1.527145368
Q1-0.8663712293
median-0.02239138633
Q30.8447218537
95-th percentile1.60652597
Maximum1.758874416
Range3.449372888
Interquartile range (IQR)1.711093083

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-1284572241
Kurtosis-1.188266414
Mean-7.784692588e-10
Median Absolute Deviation (MAD)0.8554215133
Skewness0.0690403444
Sum-7.784692588e-07
Variance1.000000001
2020-08-25T00:18:42.119787image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.481445074110.1%
 
0.486659586410.1%
 
0.453754097210.1%
 
-1.45060658510.1%
 
1.48575687410.1%
 
0.275992929910.1%
 
-0.334328025610.1%
 
0.798488676510.1%
 
-0.156421124910.1%
 
-0.596381127810.1%
 
1.12297058110.1%
 
-1.27478170410.1%
 
-1.30602741210.1%
 
-1.19664597510.1%
 
-0.00223517767210.1%
 
1.35288441210.1%
 
1.04813075110.1%
 
-1.49244558810.1%
 
-1.06770670410.1%
 
1.30207669710.1%
 
0.992833018310.1%
 
0.789702951910.1%
 
0.281569719310.1%
 
-0.00178017094710.1%
 
1.60673797110.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.69049847110.1%
 
-1.69003355510.1%
 
-1.68958020210.1%
 
-1.68579685710.1%
 
-1.68436908710.1%
 
-1.68422579810.1%
 
-1.68301439310.1%
 
-1.66081821910.1%
 
-1.65179789110.1%
 
-1.64554393310.1%
 
ValueCountFrequency (%) 
1.75887441610.1%
 
1.75424754610.1%
 
1.7534177310.1%
 
1.75240457110.1%
 
1.75167143310.1%
 
1.74945604810.1%
 
1.74922454410.1%
 
1.74365997310.1%
 
1.73541545910.1%
 
1.73373436910.1%
 

oz18
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.2801028788089753e-09
Minimum-1.7127944231033323
Maximum1.7059593200683594
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:18:42.235145image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.712794423
5-th percentile-1.593770576
Q1-0.8597934097
median0.004953661468
Q30.864870131
95-th percentile1.532599735
Maximum1.70595932
Range3.418753743
Interquartile range (IQR)1.724663541

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-781187213.6
Kurtosis-1.192033735
Mean-1.280102879e-09
Median Absolute Deviation (MAD)0.8603733392
Skewness-0.04999405378
Sum-1.280102879e-06
Variance1.000000002
2020-08-25T00:18:42.337439image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.96093690410.1%
 
0.267905771710.1%
 
-1.53261935710.1%
 
-0.258447706710.1%
 
-0.10608190310.1%
 
-0.789739668410.1%
 
-0.946589171910.1%
 
0.574891865310.1%
 
-1.70739102410.1%
 
-0.313809931310.1%
 
-0.867812454710.1%
 
-0.473301649110.1%
 
0.51936495310.1%
 
0.388023972510.1%
 
-0.00213116430710.1%
 
1.39193499110.1%
 
0.0146278142910.1%
 
-0.105642482610.1%
 
-1.13802516510.1%
 
0.697003006910.1%
 
0.758460998510.1%
 
-0.134927585710.1%
 
-1.43098032510.1%
 
1.19044554210.1%
 
0.66275328410.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.71279442310.1%
 
-1.70842480710.1%
 
-1.70739102410.1%
 
-1.70566022410.1%
 
-1.69999718710.1%
 
-1.69888043410.1%
 
-1.6932847510.1%
 
-1.69101810510.1%
 
-1.69093155910.1%
 
-1.68961548810.1%
 
ValueCountFrequency (%) 
1.7059593210.1%
 
1.70526754910.1%
 
1.70515751810.1%
 
1.70450103310.1%
 
1.69864642610.1%
 
1.69138443510.1%
 
1.68814790210.1%
 
1.67564237110.1%
 
1.67242395910.1%
 
1.67074322710.1%
 

oz22
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.0954910218715665e-10
Minimum-1.735708475112915
Maximum1.7077480554580688
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:18:42.452921image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.735708475
5-th percentile-1.563560545
Q1-0.8686093837
median0.03795235045
Q30.8655174822
95-th percentile1.520594531
Maximum1.707748055
Range3.443456531
Interquartile range (IQR)1.734126866

Descriptive statistics

Standard deviation0.9999999956
Coefficient of variation (CV)-2441709652
Kurtosis-1.209955799
Mean-4.095491022e-10
Median Absolute Deviation (MAD)0.8604160547
Skewness-0.03895685287
Sum-4.095491022e-07
Variance0.9999999912
2020-08-25T00:18:42.559632image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.302734106810.1%
 
0.512371301710.1%
 
0.0984726920710.1%
 
-0.374359220310.1%
 
-0.210616812110.1%
 
0.277677804210.1%
 
-1.73570847510.1%
 
-0.889338135710.1%
 
1.16539084910.1%
 
0.0169884879110.1%
 
-1.68227565310.1%
 
0.133876144910.1%
 
1.36068952110.1%
 
-1.27865624410.1%
 
-1.13412344510.1%
 
-1.33910584410.1%
 
-0.901993572710.1%
 
-0.895463228210.1%
 
1.38801693910.1%
 
1.04817044710.1%
 
-0.306972444110.1%
 
-0.576818168210.1%
 
0.09456298510.1%
 
1.34113049510.1%
 
-1.63798987910.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.73570847510.1%
 
-1.73457014610.1%
 
-1.73311567310.1%
 
-1.73220503310.1%
 
-1.73174631610.1%
 
-1.72982466210.1%
 
-1.7252116210.1%
 
-1.72488331810.1%
 
-1.72166085210.1%
 
-1.71937847110.1%
 
ValueCountFrequency (%) 
1.70774805510.1%
 
1.70116615310.1%
 
1.69110071710.1%
 
1.69039583210.1%
 
1.68866574810.1%
 
1.68373453610.1%
 
1.68328332910.1%
 
1.67764842510.1%
 
1.67640960210.1%
 
1.67310535910.1%
 

oz19
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0896474123001098e-09
Minimum-1.7276238203048706
Maximum1.6977123022079468
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:18:42.676735image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.72762382
5-th percentile-1.566866112
Q1-0.8819503635
median0.01894510444
Q30.8686106056
95-th percentile1.557573557
Maximum1.697712302
Range3.425336123
Interquartile range (IQR)1.750560969

Descriptive statistics

Standard deviation0.9999999986
Coefficient of variation (CV)917728053.5
Kurtosis-1.213415251
Mean1.089647412e-09
Median Absolute Deviation (MAD)0.8788133925
Skewness-0.03293395338
Sum1.089647412e-06
Variance0.9999999973
2020-08-25T00:18:42.780376image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.00476046511910.1%
 
0.848279297410.1%
 
-0.224772363910.1%
 
0.565103650110.1%
 
-0.503256082510.1%
 
1.01301646210.1%
 
0.883460640910.1%
 
-1.53644990910.1%
 
0.981775522210.1%
 
-0.74087375410.1%
 
1.0168974410.1%
 
1.54814565210.1%
 
-1.47542560110.1%
 
1.00906801210.1%
 
-0.425118386710.1%
 
1.12623143210.1%
 
1.14180338410.1%
 
1.62425565710.1%
 
-0.793578565110.1%
 
-0.981075525310.1%
 
-0.426084935710.1%
 
-0.9693560610.1%
 
0.703730523610.1%
 
0.434269875310.1%
 
-0.416296392710.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.7276238210.1%
 
-1.72373378310.1%
 
-1.72014915910.1%
 
-1.70956468610.1%
 
-1.70812404210.1%
 
-1.70482611710.1%
 
-1.70363950710.1%
 
-1.70208227610.1%
 
-1.69213485710.1%
 
-1.69060206410.1%
 
ValueCountFrequency (%) 
1.69771230210.1%
 
1.69334685810.1%
 
1.69064164210.1%
 
1.69036245310.1%
 
1.68790471610.1%
 
1.67596054110.1%
 
1.67252957810.1%
 
1.67247223910.1%
 
1.66386878510.1%
 
1.65900564210.1%
 

target
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.16186298429966e-10
Minimum-2.8485949039459233
Maximum2.1532642841339107
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:18:42.896684image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.848594904
5-th percentile-1.763411015
Q1-0.7464241982
median0.1941193417
Q30.7989417166
95-th percentile1.332845688
Maximum2.153264284
Range5.001859188
Interquartile range (IQR)1.545365915

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)-1622885814
Kurtosis-0.7111618088
Mean-6.161862984e-10
Median Absolute Deviation (MAD)0.7063833475
Skewness-0.4714426104
Sum-6.161862984e-07
Variance1.000000005
2020-08-25T00:18:42.992795image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.929685771510.1%
 
1.0715955510.1%
 
0.323888063410.1%
 
-0.14420801410.1%
 
0.407941371210.1%
 
0.540234565710.1%
 
1.24087834410.1%
 
0.813153147710.1%
 
-0.264430105710.1%
 
0.291340410710.1%
 
0.782185912110.1%
 
0.425254911210.1%
 
-0.187628105310.1%
 
2.11195135110.1%
 
0.324237346610.1%
 
-0.00482674734710.1%
 
-1.56761431710.1%
 
-1.52470529110.1%
 
1.09248495110.1%
 
-1.81767189510.1%
 
-0.842427730610.1%
 
0.120439052610.1%
 
-0.420233160310.1%
 
0.472966998810.1%
 
1.27858269210.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-2.84859490410.1%
 
-2.55920791610.1%
 
-2.46260571510.1%
 
-2.39090323410.1%
 
-2.38619184510.1%
 
-2.34561443310.1%
 
-2.30580258410.1%
 
-2.27436900110.1%
 
-2.24462723710.1%
 
-2.22822594610.1%
 
ValueCountFrequency (%) 
2.15326428410.1%
 
2.11195135110.1%
 
1.9992717510.1%
 
1.98043727910.1%
 
1.88446450210.1%
 
1.8659030210.1%
 
1.79614448510.1%
 
1.78082501910.1%
 
1.66762399710.1%
 
1.64699792910.1%
 

Interactions

2020-08-25T00:17:31.356255image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:31.514888image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:31.677576image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:31.830922image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:31.990757image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:32.150192image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:32.309829image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:32.470121image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:32.634590image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:32.796472image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:32.968434image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:33.127424image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:33.288784image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:33.445428image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:33.605311image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:33.768689image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:33.932492image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:34.095768image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:34.258469image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:34.418332image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:34.574012image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:34.737039image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:34.895797image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:35.047813image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:35.224121image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:35.384371image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:35.546994image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:35.872540image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:36.031524image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:36.191284image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:36.351978image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:36.508111image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:36.667101image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:36.829859image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:36.989551image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:37.151999image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:37.313317image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:37.477118image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:37.639775image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:37.800476image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:37.956876image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:38.105740image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:38.266568image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:38.407512image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:38.556694image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:38.710334image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:38.860605image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:39.017321image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:39.167099image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:39.317372image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:39.469167image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:39.612511image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:39.761704image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:39.910546image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:40.057959image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:40.206517image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:40.362777image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:40.670906image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:40.818714image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:40.972544image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:41.116363image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:41.274499image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:41.437901image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:41.589239image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:41.749259image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:41.911951image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:42.074233image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:42.233529image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:42.395186image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:42.560845image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:42.720329image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:42.874202image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:17:43.035094image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T00:18:17.191922image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:17.343755image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:17.504076image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:17.663132image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:17.813579image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:17.974245image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:18.136453image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:18.296850image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:18.454828image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:18.617169image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:18.936110image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:19.097783image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:19.251549image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:19.406039image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:19.567857image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:19.726609image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:19.878491image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:20.036914image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:20.202597image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:20.364989image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:20.529616image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:20.693648image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:20.855546image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:21.013494image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:21.168341image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:21.328832image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:21.491909image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:21.656255image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:21.820451image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:21.983057image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:22.150708image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:22.319663image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:22.482113image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:22.649375image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:22.808538image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:22.983510image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:23.155193image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:23.315991image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:23.481450image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:23.816766image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:23.975545image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:24.136662image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:24.295810image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:24.456324image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:24.611774image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:24.774241image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:24.930769image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:25.112750image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:25.284891image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:25.453781image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:25.619432image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:25.775973image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:25.924577image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:26.080895image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:26.241132image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:26.409863image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:26.578157image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:26.750265image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:26.910054image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:27.067206image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:27.239725image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:27.408877image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:27.571114image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:27.748162image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:27.903332image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:28.081362image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:28.241352image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:28.399617image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:28.738953image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:28.900116image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:29.061998image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:29.236639image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:29.392015image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:29.560319image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:29.728623image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:29.894982image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:30.067742image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:30.233428image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:30.396751image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:30.563001image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:30.741134image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:30.902627image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:31.068862image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:31.228289image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:31.383036image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:31.546239image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:31.712218image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:31.877780image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:32.046051image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:32.213300image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:32.382434image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:32.554466image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:32.713371image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:32.876624image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:33.038587image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:33.204207image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:33.366283image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:33.682217image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:33.843158image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:33.997781image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:34.157717image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:34.315238image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:34.469009image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:34.621860image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:34.763843image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:34.925212image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:35.081808image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:35.240522image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:35.399541image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:35.560914image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:35.741707image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:35.904567image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:36.056041image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:36.212681image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:36.374490image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:36.536018image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:36.691492image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:36.849921image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:37.009231image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:37.166465image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:37.323152image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T00:18:43.134917image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T00:18:43.428202image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T00:18:43.737340image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T00:18:44.045788image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T00:18:37.643628image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:18:38.146897image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

oz9oz17oz1oz24oz12oz10oz14oz2oz23oz6oz3oz13oz16oz4oz5oz21oz18oz22oz19target
0-1.277794-0.376952-0.252113-1.148505-1.526561-0.757802-1.025230-1.1967931.668670-1.476138-0.275898-1.6614150.002982-0.5869170.297811-0.350071-1.001264-0.4847191.5879360.423764
1-0.3467310.202637-0.5623220.0267111.005902-0.0466701.699674-0.382739-0.639491-1.0009990.906999-1.3251291.2026861.504261-0.388419-0.1913060.277077-0.1643371.2681331.298344
21.1043711.663414-0.629557-1.026211-0.8156441.577782-1.465189-1.2256031.5842621.033293-1.150791-1.663309-1.129876-0.854846-1.5552011.6809550.869146-0.6089560.4064810.169842
31.292210-0.7833641.4942661.7647541.3896010.9452200.1070541.5306120.6018451.641711-0.021953-0.282323-1.232200-0.578228-0.8733070.191664-1.6097210.9641811.2260250.478385
4-1.0517331.1718852.3131451.447208-0.529253-0.0536200.8460051.4654360.830583-1.6691610.2595860.4785140.102433-0.8025640.326840-0.776970-1.050092-1.0562511.495322-0.198337
5-1.5165770.6087840.322378-1.505618-1.5985350.535439-0.6628430.745754-1.1174501.4127330.1732810.129533-1.019684-0.006814-0.9322430.989389-0.153049-1.0361520.386199-1.733091
61.596636-1.192140-0.632150-1.184783-0.5770441.2390190.942492-0.097746-0.5863120.217796-0.8150701.4277140.941125-1.5287861.655099-1.3423930.4516100.7130980.6055110.869617
70.4126250.851290-0.644852-0.3909051.1438230.094098-0.915671-0.1195010.2797071.0149070.0282900.018096-1.3945170.2627180.454453-0.733983-0.694445-0.9259000.5079990.924382
8-0.777363-0.903433-0.2949471.072799-1.5469200.808769-0.477651-0.3071840.8251181.110976-0.3051311.0738580.543056-0.8416891.173825-0.154253-1.6910180.7263730.7062010.830693
90.1664291.281463-1.855749-0.896378-1.264230-0.440016-1.745091-1.7457750.345756-0.513555-1.574970-0.3500790.9973400.407018-0.7098130.6256980.4269491.398353-0.1238510.668732

Last rows

oz9oz17oz1oz24oz12oz10oz14oz2oz23oz6oz3oz13oz16oz4oz5oz21oz18oz22oz19target
9900.826809-0.862503-0.741331-1.2238331.0855161.179093-1.521735-1.3989751.3908270.478146-0.1920720.8822530.8454501.0435681.5472390.572828-1.675942-0.372896-0.9047670.707198
9910.248961-1.2366090.5913121.010797-0.3240200.190910-0.339079-0.2375901.5439790.1450270.2683010.761717-0.813405-0.025534-1.4831890.655450-1.057021-1.377295-1.536450-0.290987
9920.2855990.5358590.5815900.6506961.0644401.1688880.4896291.0081951.516319-1.4887830.316647-1.178802-0.0034830.0623931.0115170.2574471.1353250.152752-0.296241-1.569584
993-0.0589900.603412-0.158685-1.056250-1.3596810.5626601.535015-0.9075120.0330830.8336290.108887-0.574415-0.5599491.638445-0.6856941.617174-1.400045-0.3743590.0349501.280480
9940.175983-1.1730400.730763-0.726317-1.5370481.6988481.1009561.021233-0.218259-1.0604371.914014-1.3951461.7376840.684928-0.4658890.978357-0.1029141.040604-0.642790-1.453500
995-0.703898-0.7669900.225322-0.949772-1.1999791.098807-0.945280-0.4545330.324176-0.205875-1.190997-1.3833901.074318-1.355971-0.3451611.2895860.779151-0.0471971.6906420.940290
996-1.2352261.3068500.268266-0.391039-0.516575-0.478150-0.6076301.419548-0.795139-0.8711891.115626-0.6802530.7957780.4663251.0857061.749225-1.0049350.2546221.106345-1.519243
9970.0056370.851381-1.092055-1.6662441.6281841.555841-0.674750-0.4198380.449893-0.634118-0.8062991.7184140.535446-0.588282-1.002023-0.467946-1.3705140.761898-0.0924310.645071
998-0.628174-0.636691-0.2289440.593030-1.0226040.083120-0.135377-0.0178950.139404-0.210028-0.366003-0.256443-1.709037-1.403012-1.494100-0.691535-0.4197140.085878-0.861675-0.082275
999-0.7668370.9949190.993932-1.148748-0.934506-1.020728-1.1404981.518010-1.753483-1.3943600.6000451.207526-0.8267990.145316-0.916399-0.354416-0.1056420.8812830.216530-0.285063